Papers
Posterior Label Smoothing for Node Classification
Jaeseung Heo, MoonJeong Park, Dongwoo Kim
PosterVerse: A Full-Workflow Framework for Commercial-Grade Poster Generation with HTML-Based Scalable Typography
Junle Liu, Peirong Zhang, Yuyi Zhang et al.
Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis
Xinyue Li, Wang Hu, Yu Zhang
Post Training Quantization for Efficient Dataset Condensation
Linh-Tam Tran, Sung-Ho Bae
Potato 2.0: A Comprehensive Annotation Platform with AI-in-the-Loop Support
David Jurgens, Michael Chen, Lina Iyer
Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
Jiajie Su, Zihan Nan, Yunshan Ma et al.
Potential Outcome Rankings for Counterfactual Decision Making
Yuta Kawakami, Jin Tian
Powerful Training-Free Membership Inference Against Fine-Tuned Autoregressive Language Models
David Ilić, David Stanojević, Kostadin Cvejoski
Powering Verifiable Learning via Automated Evolutionary Data Synthesis
He Du, Bowen Li, Aijun Yang et al.
Power of Boundary and Reflection: Semantic Transparent Object Segmentation using Pyramid Vision Transformer with Transparent Cues
Tuan-Anh Vu, Hai Nguyen-Truong, Ziqiang Zheng et al.
POWSM: A Phonetic Open Whisper-Style Speech Foundation Model
Chin-Jou Li, Kalvin Chang, Shikhar Bharadwaj et al.
PPA-Plan: Proactive Pitfall Avoidance for Reliable Planning in Long-Context LLM Reasoning
Byeongjin Kim, Gyuwan Kim, Seo Yeon Park
PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning
Qianyue Cao, Zongwei Zhu, Zirui Lian et al.
PPGPT: Transferring Next-Token Modeling from Language to PPG Signals
Zexing Zhang, Huimin Lu, Qingxin Zhao
PPS: An Efficient Java-based Simulator for Time-Discrete PDDL+
Enrico Scala, Francesco Percassi, Mauro Vallati
PQDA:Policy-Aligned Q-Consistency Meets Decoupled Augmentation for Generalizable Visual RL
Yun Zhou, Yuqiang Wu, Chunyu Tan
Praat++: Multimedia Annotation System for Speech and Vocalization
Weiran Zhang, Kenny Q. Zhu
Practical Global and Local Bounds in Gaussian Process Regression via Chaining
Junyi Liu, Stanley Kok
Practical Guidelines for Model Merging in LLMs Pre-Training
Giuseppe Curci, Stefano Simonazzi, Andrea molinari et al.
Practical, Utilitarian Algorithm Configuration
Devon R. Graham, Eros Rojas Velez, Kevin Leyton-Brown
Practising responsibility: Ethics in NLP as a hands-on course
Malvina Nissim, Viviana Patti, Beatrice Savoldi
PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure
Ke Jia, Yuheng Ma, Yang Li et al.
PRAGWORLD: A Benchmark Evaluating LLMs’ Local World Model Under Minimal Linguistic Alterations and Conversational Dynamics
Sachin Vashistha, Aryan Bibhuti, Atharva Naik et al.
PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning
Afra Feyza Akyürek, Advait Gosai, Chen Bo Calvin Zhang et al.